Postdoc in Machine Learning – University of Alaska Fairbanks

Website University of Alaska Fairbanks

The Wilson Alaska Technical Center (WATC) at the University of Alaska Fairbanks (UAF) is looking for a postdoctoral fellow to lead a machine learning (ML) focused project. The successful applicant will help develop and implement novel ML algorithms to detect, locate, and estimate the yield from explosive sources using infrasound data. ML is being increasingly used on infrasound data. Recent progress has been made by utilizing existing infrasound datasets and supplementing them with synthetic data from physics-based models. We envision this project will continue this synthesis and utilize ML algorithms along with techniques and experiences from seismology and other fields.

Experience working with infrasound data is not required, and we encourage applicants that will bring new perspectives, ideas, and concepts to processing infrasound data. We encourage applicants who will facilitate and encourage diversity, equity, inclusion, and accessibility. WATC is committed to providing a collaborative and supportive work environment. We believe that diversity benefits and enriches our work and community.

Funding is available for two years, including regular travel to scientific meetings and high-performance computing resources. The successful applicant will be encouraged to collaborate on related research projects at WATC and with internal and external partners.

To apply or find more information go to:

Application review will start on 3 April 2023. Refer questions to David Fee (

UA is an AA/EO employer and educational institution and prohibits illegal discrimination against any individual: As a public, regional, comprehensive university, UAF is committed to building a culturally diverse and inclusive organization and strongly encourages women, minorities, individuals with disabilities, and veterans to apply. UAF is accredited by the Northwest Commission on Colleges and Universities.

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